Mark S. Hipp
- Molecular Biology top 1%
- Cell Biology top 0.5%
- Physiology top 2%
- Cellular and Molecular Neuroscience top 2%
- Epidemiology top 5%
- Co-authors
- F. Ulrich HartlPrasad KasturiManajit Hayer‐HartlAndreas BracherYujin KimSae-Hun ParkFrédéric FrottinRajat Gupta
- Topics
- Endoplasmic Reticulum Stress and Disease (16 papers)Ubiquitin and proteasome pathways (14 papers)Genetic Neurodegenerative Diseases (13 papers)
- Cited by
- AgingCell BiologyStructural Biology
- Partner nations
- GermanyNetherlandsUnited States
In The Last Decade
Mark S. Hipp
40 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Molecular Biology 4.4k
- Cell Biology 1.7k
- Physiology 852
- Cellular and Molecular Neuroscience 843
- Epidemiology 673
Countries citing papers authored by Mark S. Hipp
This map shows the geographic impact of Mark S. Hipp's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mark S. Hipp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark S. Hipp more than expected).
Fields of papers citing papers by Mark S. Hipp
This network shows the impact of papers produced by Mark S. Hipp. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mark S. Hipp. The network helps show where Mark S. Hipp may publish in the future.
Co-authorship network of co-authors of Mark S. Hipp
This figure shows the co-authorship network connecting the top 25 collaborators of Mark S. Hipp. A scholar is included among the top collaborators of Mark S. Hipp based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark S. Hipp. Mark S. Hipp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 39 | |
| 3 | 39 | |
| 4 | 11 | |
| 5 | 52 | |
| 6 | 16 | |
| 7 | 21 | |
| 8 | 75 | |
| 9 | 54 | |
| 10 | 32 | |
| 11 | The proteostasis network and its decline in ageingbreakdown → | 961 |
| 12 | The nucleolus functions as a phase-separated protein quality control compartmentbreakdown → | 342 |
| 13 | 155 | |
| 14 | 27 | |
| 15 | 73 | |
| 16 | Molecular Chaperone Functions in Protein Folding and Proteostasisbreakdown → | 1102 |
| 17 | 288 | |
| 18 | 131 | |
| 19 | 4 | |
| 20 | 55 |
About Mark S. Hipp
Mark S. Hipp is a scholar working on Aging, Cell Biology and Cellular and Molecular Neuroscience, having authored 40 papers that have together received 5.7k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (16 papers), Ubiquitin and proteasome pathways (14 papers) and Genetic Neurodegenerative Diseases (13 papers). The work is most often cited by research in Aging (381 citations), Cell Biology (1.7k citations) and Structural Biology (138 citations). Mark S. Hipp has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include F. Ulrich Hartl, Prasad Kasturi, Manajit Hayer‐Hartl, Andreas Bracher, Yujin Kim, Sae-Hun Park, Frédéric Frottin, Rajat Gupta, Marcus Groettrup and Gunter Schmidtke. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.